Telegram RegisterThe public register of Telegram

Channel

泉城济南圈 🅥

@jinanquan

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

34,307subscribers

+613 since we began measuring on 11 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001847564181
TypeChannel
Username@jinanquan
Description分享济南人在济南的点点滴滴,还会有更多精彩瞬间!合作私聊 @starkuser_bot Ⓜ️ 济南电报总群 @jinanqun 🔎 【开搜】报告搜索 @kaiso 🔸 泉城济南电报群 @jinan_TG 🔸 爱投稿助手 @aitgo_bot
CreatedBetween 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/jinanquan

Growth

33,69434,30734,000.511 August 2026 — 33,694 subscribers11 August 2026 — 33,694 subscribers12 August 2026 — 34,011 subscribers13 August 2026 — 34,307 subscribers11 August 202613 August 2026
4 measurements spanning 2 days, net +613. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 33,602–34,399 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 14:5834,307+296
12 Aug 2026, 13:2334,011+317
11 Aug 2026, 15:0133,694no change
11 Aug 2026, 14:4933,694first reading

Engagement

16 posts held, back to 23 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 6 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
5.02%
avg views ÷ 34,307 subscribers
Avg views / post
1,720
16 posts measured
Reaction rate
0.113%
reactions ÷ views · ER floor
Posts in window
16
of 16 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 14 of 16 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 10 August 2026
Posts held16 (23 July 202610 August 2026)
Views total27,540
Reactions total27
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Aug 2026, 03:26 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Photos
280
Videos
241
Links
285

Lifetime counters from Telegram’s own channel header, read 14 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
1m 46s
Average length
21s

Measured directly from 5 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Reaction mix

27 reactions across 11 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
27100.0%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 14 of the 16 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 27reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 23 July 2026 to 10 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

10 Aug 2026, 01:58 UTC676 views1 reactionsread 14 August 2026
Forwarded from @ShandongALL

#YES #群友投稿 #济南 #山东 @ShandongALL 三刷女搓,还是约好时间,到达位置,遥控上楼这次找的萱萱,一身黑色蕾丝短裙,身材很苗条属于那种小鸟依人类型的,引导脱衣服躺到里面的搓澡床上服务的很认真,刺激感拉满,不管正面还是背面全部照顾到位,尤其是掏屁股沟的时候很爽,随后来到按摩床上背面调情完事之后让我撅起屁股菊花那爽感阵阵来袭,菊花还有那指划蛋蛋,不麻都不行,牛子搞得棒棒硬,正面的时候也是各种指划,各种磨,来到最后双手涂满精油双手上下叠加,摸着花园抓着奶子激情发射。这体验牛子从头硬到最后,体验感拉满,性价比之王。 via 神 资源关键词:女搓手推 🔜 >>>点击获取 .

1

7 Aug 2026, 23:16 UTC874 views1 reactionsread 14 August 2026
Forwarded from @ShandongALL

#YES #群友投稿 #济南 #山东 @ShandongALL 【老师名字】:多米 【验证人员】: 【颜值评分】:9 【身材评分】:10 【手法专业】:10 【服务态度】:10 【消费金额】:1200 【前高次数】:1 【潮喷成功】:否 【项目体验感受】:只能说太牛逼了,我无法形容,全程一直大脑空白,只有舒服和刺激,话不多说,就是牛逼 via 匿名 资源关键词:青养堂抓龙筋 🔜 >>>点击获取 .

1

7 Aug 2026, 04:58 UTC≈1,660 views1 reactionsread 14 August 2026
Video

山东济南章丘世茂 小孩是偷的 还是她自己的 via 匿名 by @Aifabu 点击投稿

1

5 Aug 2026, 05:10 UTC≈2,130 viewsread 14 August 2026

#有趣问答推荐 大佬们,快帮忙解答一下😂😂 https://t.me/jinanwen/864

4 Aug 2026, 03:20 UTC≈1,560 viewsread 14 August 2026
Forwarded from @ShandongALL

#YES #群友投稿 #济南 #山东 @ShandongALL 【老师名字】:多米 【验证人员】:MJoe 【颜值评分】:10 【身材评分】:10 【手法专业】:10 【服务态度】:10 【消费金额】:1200 【前高次数】:0(没让老师做这个) 【潮喷成功】:否 【项目体验感受】:自从试过抓龙筋后就对这个比较中意,这次来济南看到了想体验一下。一进门看到小姐姐就被惊艳到了,小姐姐本人要比照片更年轻,颜值也是非常能打,属于很好看也很耐看的类型,服务过程也非常不错,小姐姐很健谈,去的时候看起来心情不错,时不时会哼哼两首歌,蛮可爱的,但是不要被她外表所欺骗,因为她会在言语上挑逗你,行为上调教你,所以喜欢当M的真的有福了,最后走的时候,还主动的屁颠屁颠跑来帮忙开门,蛮有意思的哈哈,已经开始期待下次了。 via 匿名 资源关键词:青养堂抓龙筋 🔜 >>>点击获取 .

4 Aug 2026, 03:19 UTC≈1,200 views0 reactionsread 14 August 2026
Forwarded from @ShandongALLVideo

#YES #群友投稿 #济南 #山东 @ShandongALL 妹妹名字:小小 我是比较喜欢嫩妹的,昨天偶然刷到新开业的小陈修车,果断约了时间,开始了我的cj之路。 ls是在印象城,进出方便,也能停车,位置还是蛮好找的,初见ls小小一只,穿着一身碎花裙好可爱,真人比照片更耐看,纯然天成的嫩,果断交了水费。 褪去衣物,微观ls白皮,🐻B杯,竟然还是无毛毛,给了我大大惊喜,随即一起yyy,洗浴位置较小,大高个的ly需要注意,酒店式的好像都是这样,有一次性毛巾出来ls细心檫干,来到床上迫不及待先sw,知道我的都知道其实我不喜欢sw但是见到圆圆ls没忍住。ls三点粉,下面无毛,rt小小的,是人工白虎,bb内外一致粉粉的看起来很有食欲,随即浅尝一口,无异味,有点上头不断吸嗦,ls轻哼不断,嫩妹就是好,不一会儿淫水泛滥,给ls送上巅峰,见时机成熟喊ls拿出☔带上,此时ls已无力,本君自己带好,cjs扶根直上,ls喊

2 Aug 2026, 12:08 UTC≈2,290 views1 reactionsread 14 August 2026
Video

瑞幸员工对嘴喷奶油 8月1日晚,山东济南瑞幸黄金时代广场店两名员工身穿工服,在操作台旁直接用奶油发泡枪对着同事嘴里喷射奶油,并拍视频配文“吃饱喝足再下班”发到网上。 视频画面中,两名身穿瑞幸工作服的员工在操作台区域嬉戏,其中一人手持制作饮品用的奶油发泡器,直接对着另一名员工的嘴巴喷射奶油,画面中人员还对着镜头比“耶”手势。 via 匿名 by @Aifabu 点击投稿

1

1 Aug 2026, 15:06 UTC≈2,020 views0 reactionsread 14 August 2026
Video

济南-杜张水库 ...珍爱生命 远离野游 via 匿名 by @Aifabu 点击投稿

1 Aug 2026, 01:48 UTC≈2,570 views0 reactionsread 14 August 2026

其他群友有没有遇到类似问题呢,可以支支招了 https://t.me/jinanwen/859

1 Aug 2026, 00:52 UTC≈2,170 views1 reactionsread 14 August 2026
Video

山东济南,油漆意外从车上掉落,骑车市民经过滑倒蹭一身 via 匿名 by @Aifabu 点击投稿

1

28 Jul 2026, 14:30 UTC≈1,780 views7 reactionsread 14 August 2026
Forwarded from @ShandongALL

#YES #群友投稿 #济南 #山东 @ShandongALL 足交sm之行 在群里潜伏了好久,一直看兄弟们聊天,实在是按耐不住内心的躁动了,决定约课,提前一天约好,第一次去想体验的项目多点,本来想约两个小时,结果约不开,小雨就给约了一个小时,到位置遥控上楼,小雨开门的一瞬间让我感到挺惊艳,黑丝,黑红的高跟鞋,短裙,衬衫,对这种装扮没有任何抵抗力,随后小雨领着进淋浴间,简单冲洗了一下出来的时候小雨已经做到沙发上了,让我躺到她的旁边开始用高跟轻轻的踩我小鸡和乳头,那感觉一下就上来了,我抱着小雨的脚就是一顿狂吸过肺,小雨另外一只脚还挑逗我的🐥,吸舔的心满意足了小雨开始给我上强度了,给我固定到椅子上了,完事开始给我用震动棒插我后庭,振的我前列康酥麻酥麻的,手开始给我强撸,最可气的是我临近我射的边缘手就停住了,后面还是一直被振这,持续的大概5-6次,直到自己溢出来来了,不过不是射精的感觉,小鸡还是一直硬着,小雨又开始撸这次给我撸哭了,有

7

28 Jul 2026, 04:59 UTC≈1,980 views1 reactionsread 14 August 2026
Photo

各位群友,为更便捷的让群友搜索泉城济南问答吧 @wendaba 的内容,查询到自己想要的内容,问答收录至开工搜索机器人,更便捷,欢迎大家使用! 🔰 开工问答搜索 @kaiso ⚠️ 进入机器人后,直接输入想要搜索的内容即可,如:老屯 、 匠厨 等! 欢迎大家试用,如有问题欢迎向群主助手反馈 @starkuser_bot

1

Showing the 12 most recent of 16 posts we hold for @jinanquan. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 13 August 2026 — this entry's latest reading, not the date you are reading this.

“泉城济南圈 🅥” (@jinanquan), 34,307 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/jinanquan.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.